Health Data Scientist

• Developing and maintaining R packages for executing studies on OMOP-CDM formatted health data.
• Translating epidemiological study designs into executable software.
• Collaborating within the OHDSI community and contributing to open-source tools.
• Supporting the DARWIN EU® Coordination Centre by building scalable, reusable analytics.
• Applying software development best practices, including version control (GIT), documentation, and testing.

Werkomgeving

Erasmus MC stands for a healthy population and excellence in healthcare. By conducting groundbreaking work, we aim to push boundaries through leading the way in research, education and healthcare. We have access to the latest equipment and techniques in a state-of-the-art environment.

You will work within the Department of Medical Informatics. The department is internationally at the forefront of health data standardization and analysis and offers a dynamic, challenging, and cooperative research environment. The Health Data Science team is responsible for operations of the Coordination Centre for the Data Analysis and Real World Interrogation Network (DARWIN EU®) of the European Medicines Agency (link) that will deliver real-world evidence from across Europe on diseases, populations and the uses and performance of medicines. Profiel

A completed bachelor's or master's degree, preferably in computer science, data science, or a related field. Ervaring You're independent, collaborative, and highly motivated to contribute to public health. Excellent written and verbal communication skills in English. Proficiency with GIT and software development best practices. Additional knowledge of Python or C is a plus., * A completed bachelor's or master's degree, preferably in computer science, data science, or a related field.

• At least 3 years of experience in R programming.
• Proficiency with GIT and software development best practices.
• Additional knowledge of Python or C is a plus.
• Excellent written and verbal communication skills in English.
• You're independent, collaborative, and highly motivated to contribute to public health.

Bekijk hier de voorwaarden voor indiensttreding bij Erasmus MC. Wat bieden wij

• You will receive a temporary position for 1 years, with the option for an extension.
• The gross monthly salary between € 3.598,- and € 5.669,- (scale 10) based on a full-time workweek of 36 hours.
• Excellent fringe benefits, such as a 13th month that is already paid out in November and a individual travel expense package.
• An International Office which aids you in preparing for your arrival and stay.
• Pension insurance with ABP. We take care of approximately 2/3 of the monthly contribution.
• Special benefits, such as a incompany physiotherapist and bicycle repairer. And there is also a gym where you can work on your fitness after work.

At Erasmus MC's Health Data Science group, you'll help shape the future of healthcare by developing open-source analytics that support large-scale epidemiological research. You'll work with health data standardized to the OMOP Common Data Model (OMOP-CDM), enabling studies across Europe through the DARWIN EU® network an initiative coordinated by Erasmus MC on behalf of the European Medicines Agency. Your work will directly support researchers and regulators in generating real-world evidence to improve patient care. You'll collaborate with experts in epidemiology, data science, and software engineering, and contribute to a growing ecosystem of R packages that make health data analysis faster, more reliable, and reproducible.